Plurality of Birth and Infant Mortality Due to External Causes in the United States, 2000–2010

There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

Abstract

<p class="first" id="P1">Risk of death during the first year of life due to external causes, such as unintentional injury and homicide, may be higher among twins and higher-order multiples than among singletons in the United States. We used national birth cohort linked birth–infant death data (2000–2010) to evaluate the risk of infant mortality due to external causes in multiples versus singletons in the United States. Risk of death from external causes during the study period was 3.6 per 10,000 live births in singletons and 5.1 per 10,000 live births in multiples. Using log-binomial regression, the corresponding unadjusted risk ratio was 1.40 (95% confidence interval (CI): 1.30,1.50). After adjustment for maternal age, marital status, race/ethnicity, and education, the risk ratio was 1.68 (95% CI: 1.56, 1.81). Infant deaths due to external causes were most likely to occur between 2 and 7 months of age. Applying inverse probability weighting and assuming a hypothetical intervention where no infants were low birth weight, the adjusted controlled direct effect of plurality on infant mortality due to external causes was 1.64 (95% CI: 1.39, 1.97). Twins and higher-order multiples were at greater risk of infant mortality due to external causes, particularly between 2 and 7 months of age, and this risk appeared to be mediated largely by factors other than low-birth-weight status. </p>

Related collections

Most cited references 22

Record: found
Abstract: found
Article: not found

Marginal structural models for the estimation of direct and indirect effects.

Tyler J. VanderWeele (2008)

The estimation of controlled direct effects can be carried out by fitting a marginal structural model and using inverse probability of treatment weighting. To use marginal structural models to estimate natural direct and indirect effects, 2 marginal structural models can be used: 1 for the effects of the treatment and mediator on the outcome and 1 for the effect of the treatment on the mediator. Unlike marginal structural models typically used in epidemiologic research, the marginal structural models used to estimate natural direct and indirect effects are made conditional on the covariates.

0 comments Cited 144 times – based on 0 reviews      Review now

Bookmark

Record: found
Abstract: found
Article: not found

Fertility treatments and multiple births in the United States.

Dmitry Kissin, Jace W. Jones, F. Gallo … (2013)

The advent of fertility treatments has led to an increase in the rate of multiple births in the United States. However, the trends in and magnitude of the contribution of fertility treatments to the increase are uncertain. We derived the rates of multiple births after natural conception from data on distributions of all births from 1962 through 1966 (before fertility treatments were available). Publicly available data on births from 1971 through 2011 were used to determine national multiple birth rates, and data on in vitro fertilization (IVF) from 1997 through 2011 were used to estimate the annual proportion of multiple births that were attributable to IVF and to non-IVF fertility treatments, after adjustment for maternal age. Trends in multiple births were examined starting from 1998, the year when clinical practice guidelines for IVF were developed with an aim toward reducing the incidence of multiple births. We estimated that by 2011, a total of 36% of twin births and 77% of triplet and higher-order births resulted from conception assisted by fertility treatments. The observed incidence of twin births increased by a factor of 1.9 from 1971 to 2009. The incidence of triplet and higher-order births increased by a factor of 6.7 from 1971 to 1998 and decreased by 29% from 1998 to 2011. This decrease coincided with a 70% reduction in the transfer of three or more embryos during IVF (P<0.001) and a 33% decrease in the proportion of triplet and higher-order births attributable to IVF (P<0.001). Over the past four decades, the increased use of fertility treatments in the United States has been associated with a substantial rise in the rate of multiple births. The rate of triplet and higher-order births has declined over the past decade in the context of a reduction in the transfer of three or more embryos during IVF. (Funded by the Centers for Disease Control and Prevention.).